Senior Platform Engineer (Infrastructure)

The AI-powered OS for beauty, wellness and self-care About Fresha Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices. Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date. The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC. Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.   Fresha’s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.   The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google. Inclusive workforce   At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.   We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.   We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.   If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.

Our Tech Stack:

Docker

AWS EKS

Kafka / AutoMQ for asynchronous messaging

Elixir & Ruby for core services

gRPC for inter-service communication

GraphQL for API ingress

Next.js / TypeScript for frontend

PostgreSQL (RDS) for persistent storage

GitHub Actions (primary CI), with Jenkins & Argo Workflows for legacy pipelines

Redis for key/value storage

Terraform for infrastructure as code

Python and GoLang for our Platform tools

Datadog, Sentry for observability and incident response

What you will be doing:

Define and evolve infrastructure architecture to support multi-region deployments

Design systems for resilience, scalability, and operational simplicity

Explore and apply AI-assisted approaches to reduce operational toil, improve reliability, and support platform decision-making where it creates clear value

Extend monitoring and observability capabilities across services

Make operational data easy to access, understand, and act on

Build tooling for safe deployments, fast rollbacks, and reduced operational toil using software methodologies and approaches

Experiment with AI-assisted detection, triage, or automation to improve signal quality and reduce manual effort

Scope, lead, and deliver platform initiatives autonomously

Drive cross-team projects with clear outcomes and accountability

Raise the bar through documentation, runbooks, and internal knowledge sharing

Help teams learn, align, and operate more effectively together

We’d love to hear from you if you:

Have 5+ years of experience building, operating, and troubleshooting production-grade systems, with a strong focus on reliability, observability, and scalability

Bring hands-on experience with AI/ML or LLM-based tools in a platform or operational context (e.g. automation, observability, developer experience, or incident response)

Demonstrate strong programming and automation skills in Python, Go, or Bash, and use Infrastructure as Code (Terraform) to build repeatable, low-risk systems

Have experience with AWS (EKS, RDS, S3, CloudFront), or equivalent platforms on GCP or Azure

Are comfortable working close to the system with solid Linux and networking fundamentals (TCP/IP, DNS, firewalls, load balancing, VPNs)

Have practical experience designing or improving observability (metrics, logs, traces) using tools such as Datadog, Grafana, ELK, Sentry, and OpsGenie

Take ownership of complex technical problems, form clear opinions backed by data, and drive solutions through implementation and collaboration

Work effectively across teams, communicate technical concepts clearly, and apply systems thinking to make platforms easier to use, safer to operate, and simpler to scale

Have experience with Claude code

Interview Process

Screen Call - Video call with a member from the Talent Team - 45-60 minutes

1st Stage - Technical Video call/In-person interview with our Engineers - 90 minutes

2nd Stage - Technical Video call/In-person interview with Engineers - Up to 2 hours

Final Stage - Video call/In-person meet with CTO - 60 minutes

Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe